Academy & Industry Research Collaboration Center (AIRCC)

Volume 11, Number 11, July 2021

Credit Card Fraud Detection using Supervised and Unsupervised Learning

  Authors

Vikas Thammanna Gowda, Wichita State University, USA

  Abstract

In the present monetary situation, credit card use has gotten normal. These cards allow the user to make payments online and even in person. Online payments are very convenient, but it comes with its own risk of fraud. With the expanding number of credit card users, frauds are also expanding at the same rate. Some machine learning algorithms can be applied to tackle this problem. In this paper an evaluation of supervised and unsupervised machine learning algorithms has been presented for credit card fraud detection.

  Keywords

Credit card fraud detection, Supervised learning, Unsupervised learning.